论文标题
新的医疗编码系统中复杂性的熵衡量标准
Entropic Measures of Complexity in a New Medical Coding System
论文作者
论文摘要
背景：从旧的医学编码系统过渡到新的编码系统可能具有挑战性，尤其是当两个编码系统显着不同时。美国在2015年经历了这种过渡。目的：这项研究旨在引入熵措施，以帮助用户为迁移到新的医疗编码系统的准备，并通过识别和将准备计划集中在具有更大可能过渡挑战的可能性的临床概念上。方法：引入了两种编码复杂性的熵指标。第一个度量是新代码字母的变化的函数。第二个措施是基于旧代码的有效表示的可能数量。结果：如何使用ICD-9-CM和ICD-10-CM/PC之间的2015次映射来实施如何实施提出的技术。在临床概念的背景下讨论了所得熵措施的重要性，这些临床概念可能会对文档，编码错误和纵向数据比较提出挑战。结论：所提出的熵技术适合评估存在映射或人行横道的任何两个医疗编码系统之间的复杂性。熵越多，过渡挑战的可能性就越大。用户可以利用建议的技术作为确定培训工作的指南，以改善文档并增加准确的编码，代码有效性和纵向数据比较的机会。
Background: Transitioning from an old medical coding system to a new one can be challenging, especially when the two coding systems are significantly different. The US experienced such a transition in 2015. Objective: This research aims to introduce entropic measures to help users prepare for the migration to a new medical coding system by identifying and focusing preparation initiatives on clinical concepts with more likelihood of transition challenges. Methods: Two entropic measures of coding complexity are introduced. The first measure is a function of the variation in the alphabets of new codes. The second measure is based on the possible number of valid representations of an old code. Results: A demonstration of how to implement the proposed techniques is carried out using the 2015 mappings between ICD-9-CM and ICD-10-CM/PCS. The significance of the resulting entropic measures is discussed in the context of clinical concepts that were likely to pose challenges regarding documentation, coding errors, and longitudinal data comparisons. Conclusion: The proposed entropic techniques are suitable to assess the complexity between any two medical coding systems where mappings or crosswalks exist. The more the entropy, the more likelihood of transition challenges. Users can utilize the suggested techniques as a guide to prioritize training efforts to improve documentation and increase the chances of accurate coding, code validity, and longitudinal data comparisons.
